code.zip - Directed searching optimization algorithm for constrained optimization problems.
A directed searching optimization algorithm (DSO) is proposed to solve constrained optimization problems The proposed algorithm includes two important operations — position updating
and genetic mutation. Position updating enables the non-best solution vectors to mimic the best one,
which is beneficial to the convergence of the DSO genetic mutation can increase the diversity of individuals,
which is beneficial to preventing the premature convergence of the DSO. In addition,2013-06-21 01:55:28,下载5次
code4.zip - optimization algorithm SPSA is very new algorithm.,2013-06-21 01:52:22,下载41次
code3.zip - Cockroach Swarm Optimization
a new bionic algorithm, entitled
Cockroach Swarm Optimization (CSO), that is inspired by the
social behavior of cockroaches. We construct some models by
imitating the foraging behaviors of cockroach, and describe the
steps of CSO. Simulation results illustrate that CSO has
stronger convergence performance and highly-accuracy
optimization results compares with Particle Swarm
Optimization (PSO), Chaotic Particle Swarm Optimization
(CPSO) and Artificial Fish-swarm Algorithm (AFSA).,2013-06-21 01:44:44,下载57次
code.zip - Convergence analysis and performance of the extended artificial
physics optimization algorithm.artificial physics optimization (EAPO), a population-based,
stochastic, evolutionary algorithm (EA) for multidimensional search and optimization.
EAPO extends the physicomimetics-based Artificial Physics Optimization (APO) algorithm
by including each individual’s best fitness history. Including the history improves EAPO’s
search capability compared to APO. EAPO and APO invoke a gravitational metaphor in
which the force of gravity may be attractive or repulsive, the aggregate effect of which is
to move individuals toward local and global optima. A proof of convergence is presented
that reveals the conditions under which EAPO is guaranteed to converge,2013-06-21 01:37:50,下载30次
SOA.zip - Seeker optimization algorithm(SOA)is an ovelpopulation-based heuristics tochastic search algorithm which is based on the concep to f simulating the act of human searching In the SOA,the search direction is determined by seeker’segotistic behavior,altruisticbehaviorandpro-activenessbehavior,whilestep length is given by uncertainty reason ingbehavior.,2013-06-21 01:32:05,下载39次